TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to examine temporal data by dividing it into its fundamental components. By exposing these distinct patterns, we can gain improved insights into the underlying trends of a time series. This approach typically involves recognizing trends, seasonality, and random fluctuations. Understanding these